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[Nomination] Yoshitomo Matsubara #167

@yoshitomo-matsubara

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@yoshitomo-matsubara

Select one:

  • I am nominating myself for the PyTorch Ambassador Program.
  • I am nominating someone else to become a PyTorch Ambassador.

Please confirm that the nominee meets the following requirements:

Nominee Name

Yoshitomo Matsubara

Nominee Email

[email protected]

Nominee's GitHub or GitLab Handle

yoshitomo-matsubara

(Optional) Organization / Affiliation

Yahoo Inc.

City, State/Province, Country

Bellevue, WA, USA

Your Name

No response

Your Email (Optional)

No response

How has the nominee contributed to PyTorch?

  • An active contributor to PyTorch repositories (e.g., commits, PRs, discussions).
  • A speaker at PyTorch events or workshops.
  • A PyTorch user group organizer or meetup host.
  • A researcher or educator using PyTorch in academic work or training.
  • An active leader in the PyTorch community with at least one year of experience in:
  • Organizing events (virtual/in-person).
  • Speaking at AI/ML conferences.
  • Mentoring others in PyTorch.
  • Creating technical content (e.g., blogs, videos, tutorials).

🏆 How Would the Nominee Contribute as an Ambassador?

As a PyTorch Ambassador, I would help students, engineers, and researchers in academia/industry in the following manners (but not limited to):
- share knowledge about launching new PyTorch-based Python packages (CI/CD, PyPI, documentation, etc)
- organize local (USA, Japan) / virtual events for encouraging the engineering and research communities to open-source and design reproducible projects
- mentor those who want to start such projects themselves
- offer tutorials about coding-free PyTorch-based frameworks for reproducible deep learning experiments

Any additional details you'd like to share?

I am a research scientist with strong passion of open source/science. [Most of my papers](https://yoshitomo-matsubara.net/publications/) are published with [code](https://github.com/yoshitomo-matsubara) and/or [artifacts](https://huggingface.co/yoshitomo-matsubara) for reproducibility and helping research communities build on my work.

I am also an ML OSS developer (nights and weekends), actively developing pip-installable PyTorch frameworks, [torchdistill](https://github.com/yoshitomo-matsubara/torchdistill) and [sc2bench](https://github.com/yoshitomo-matsubara/sc2-benchmark), as the author for several years. torchdistill joined PyTorch Ecosystem in 2023 ([PyTorch Community Blog](https://pytorch.org/blog/enhancing-deep-learning/), [PyTorch Medium](https://medium.com/pytorch/torchdistill-a-modular-configuration-driven-framework-for-reproducible-deep-learning-and-9e0ecabf2815)).

For the two PyTorch frameworks, I opened the discussion pages ([torchdistill](https://github.com/yoshitomo-matsubara/torchdistill/discussions) and [sc2bench](https://github.com/yoshitomo-matsubara/sc2-benchmark/discussions)) a few years ago and I actively help users there. Before that, I contributed to discussions and Q&A at [pytorch/vision](https://github.com/pytorch/vision/issues?q=yoshitomo-matsubara) and [PyTorch Forums](https://discuss.pytorch.org/u/yoshitomo-matsubara/summary).

I also gave [OSS talks](https://yoshitomo-matsubara.net/projects/oss/) at research workshops a few times.

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